Yuxuan Zhu

According to our database, Yuxuan Zhu authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Establishing Best Practices for Building Rigorous Agentic Benchmarks.

Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman, Sarah Schwettmann, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang

CoRR, July, 2025

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees.

Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel D. Kang

Proc. ACM Manag. Data, June, 2025

Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains?

Chuxuan Hu, Yuxuan Zhu, Antony Kellermann, Caleb Biddulph, Suppakit Waiwitlikhit, Jason Benn, Daniel Kang

CoRR, June, 2025

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.

Tengjun Jin, Yuxuan Zhu, Daniel Kang

CoRR, April, 2025

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report).

Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel Kang

CoRR, March, 2025

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.

Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang

CoRR, March, 2025

UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench.

Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top-<i>k</i> Selection'.

Yuxuan Zhu, Maximilian Hüttner, Kyle Deeds

Proceedings of the Reproducibility Reports of the 2024 International Conference on Management of Data, 2024

FedTrans: Efficient Federated Learning via Multi-Model Transformation.

Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

2023

SlabCity: Whole-Query Optimization using Program Synthesis.

Rui Dong, Jie Liu, Yuxuan Zhu, Cong Yan, Barzan Mozafari, Xinyu Wang

Proc. VLDB Endow., 2023

2022

An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems.

Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding

Proceedings of the IEEE Global Communications Conference, 2022

2021

Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach.

Shijing Yuan, Jie Li, Jinghao Liang, Yuxuan Zhu, Xiang Yu, Jianping Chen, Chentao Wu

Proceedings of the IEEE Global Communications Conference, 2021